A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Development of Relevance Feedback System using Regression Predictive Model and TF-IDF Algorithm
2018
International Journal of Education and Management Engineering
Domain-specific retrieval systems developed for a homogenous group of users can potentially optimise the recommendation of relevant web documents in minimal time as compared to generic systems built for a heterogeneous group of users. Domain-specific retrieval systems are normally developed by learning from users' past interactions, as a group or individual, with an information system. This paper focuses on the recommendation of relevant web documents to a cohort of users based on their search
doi:10.5815/ijeme.2018.04.04
fatcat:7bzpporvibhxlb75avqus4ko54